Building Generative AI Applications on Google Cloud

Generative artificial intelligence is redefining what software can achieve, enabling developers to build highly intuitive and adaptive user experiences. Harnessing these capabilities on Google Cloud allows you to integrate state-of-the-art language models directly into your existing infrastructure. This text-only course guides you through the core concepts and practical steps of building generative AI applications, transforming you from a traditional developer into an AI-enabled builder. What you'll learn: - Understand the foundational concepts of Large Language Models (LLMs) and generative AI architecture - Configure and interact with Vertex AI models using APIs and SDKs - Apply prompt engineering techniques to guide model behavior and improve output quality - Implement retrieval-augmented generation (RAG) using vector databases to ground model responses in real-world data - Design secure and scalable application workflows that integrate AI capabilities seamlessly - Monitor and evaluate model performance to ensure reliable user experiences You will start by mastering key terminology, model parameters, and cloud AI infrastructure. From there, the written modules walk you through API integration, prompt design, and data grounding techniques, culminating in a complete architectural blueprint for your first generative application. This course is designed for application developers and cloud enthusiasts who are new to generative AI. No prior machine learning background is required; a basic understanding of programming and cloud concepts is all you need to get started. Start reading today to unlock the potential of cloud-based generative AI.